68 optimization-nonlinear-functions Postdoctoral positions at Technical University of Denmark
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Job Description If you would like to advance new knowledge about how generative AI is reshaping public sector work - and you have expertise in sociology of professions, STS, or public administration
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strong commitment to the green transition, especially in advanced thermal systems such as Carnot batteries, thermal storage, and high-efficiency heating. As part of DTU, you will contribute to cutting-edge
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positions are attached to four different collaborative projects with related but distinct goals, all making use of our expertise in squeezing-based entangled states of light: ClusterQ (ERC): A platform for
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of energy and a large part of this energy is used for conditioning indoor environments. There is a global need to identify heating, cooling and ventilation (HVAC) solutions that create optimal indoor
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multiple systems Driving use-case studies that demonstrate the benefits of semantic integration, e.g. in scheduling, resource sharing, or formulation optimization Collaborating with chemical engineers
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coating production and coating use. Test methods Reliable and fast test methods to optimize coating performance is of utmost importance in coatings development. We work on new test methods and optimisation
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optimization, for enhancing light trapping in nanostructured thin-film solar cells. Your role will focus on developing and applying large-scale electromagnetic simulations to identify optimal nanostructured
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that can provide key insight into the role of individual functional groups and the bonds that link these. The BONDS project has as its ambition to develop novel, interpretative computational tools capable
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. Responsibilities: Conduct research in compilation, optimization, and analysis for time-predictable computer architecture. Co-supervise MSc and PhD students. Contribute to teaching and research proposal preparation